ClearCore
Create a single view of data from multiple sources that has been cleansed, matched and enriched.
What is ClearCore?
Unbeaten, evidence-based technology
ClearCore can be used for many different solutions, but it excels where you need to match data across multiple sources, no matter how partial the data. It can cleanse, enrich and match data to create a single view that you can use to make decisions, identify opportunities or assess risk.
It’s been used across Local Authorities to identify problems in data with single person discounts, and it’s been used by social care to identify children who may be at risk.
Key Features of ClearCore
Data Matching
Evidence-based matching
ClearCore operates on evidence-based matching, which makes it more accurate and thorough than a probability-based match. You can be confident that you’re basing your decisions on accurate, evidence-based data.
Accuracy
Accurate nominal data linking
Our solutions are widely in use where the accurate linking of nominal data is mission critical and it is proven to find matches that other solutions on the market fail to find.
Reporting
Quality dashboards and metrics
Based on your criteria, you can access and build dashboards and metrics that support your individual use case.
Benefits of using ClearCore
Profiling
Record level data analysis within each column to measure and report on the accuracy, validity, duplication, format, inconsistencies and completeness of the source data. Reports from overall accuracy down to record level to identify sub-standard data for use in manual review or feedback to source systems.
Cleansing
Standardising, correcting and verify data to ensure the best quality data is used in match process to produce reliable and trustworthy results. A detailed audit trail and statistics are generated for each part of the cleansing process to indicate any data that was missing, incorrect, inconsistent, invalid, or changed.
Matching
Linking data based on evidence rather than probability. ClearCore performs iterative rounds of cascade matching until matches stop causing further impact changes.
Data Quality auditing
Critically our evidence driven approach produces a data quality audit codes which are used to identify potentially unsafe matches and mitigate the risk of under and over matching, which is not possible with a probability approach to matching.
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Data
An evidence-based approach
Critically our evidence driven approach produces a data quality audit codes which are used to identify potentially unsafe matches and mitigate the risk of under and over matching, which is not possible with a probability approach to matching. For this reason our solutions are widely in use where the accurate linking of nominal data is mission critical and it is proven to find matches that other solutions on the market fail to find.
How it works
ClearCore takes a robust approach
Profiling – record level data analysis within each column to measure and report on the accuracy, validity, duplication, format, inconsistencies and completeness of the source data.
Cleansing – standardising, correcting and verify data to ensure the best quality data is used in match process to produce reliable and trustworthy results.
Matching – Linking data based on evidence rather than probability. ClearCore performs iterative rounds of cascade matching until matches stop causing further impact changes.
Success stories
Testimonial“Due to our Genie and ClearCore systems we have one of the best and most cost-efficient Data Quality and RRD processes in the country.”Simon MumfordRegional RRD & Data Quality Manager
East Midlands Police Collaboration and City of London Police
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Find our more about how ClearCore can help you
- Evidence-based matching
- Accurate nominal data linking
- Quality dashboards and metrics